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Weekend Machine Vision Engineer Jobs in Washington

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110.80K - $130.60K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ... WHO YOU ARE: * 3+ years of industry experience in computer vision, machine vision, or image ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110.40K - $130.20K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of ... You bring: * 5+ years of industry experience developing and deploying computer vision, machine ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA

$109.20K - $149.90K/yr

We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support ... Experience with machine learning utilities such as MLflow, Optuna, and DVC. What Would be Nice to ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA

$109.20K - $149.90K/yr

... vision, machine learning, or closely related fields. • Proficiency in Python and its ecosystem ... engineering fundamentals, including experience with Git, Docker, and CI/CD practices. • ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109.20K - $149.90K/yr

... vision, machine learning, or closely related fields. • Proficiency in Python and its ecosystem ... engineering fundamentals, including experience with Git, Docker, and CI/CD practices. • ...

ManTech

Senior Computer Vision Engineer

Ashburn, VA · Hybrid

$125.30K - $165.20K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Computer Vision Engineer to join our ... machinery, or to communicate with co-workers, management, and customers, which may involve ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Tysons, VA

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

Cymertek

Machine Learning Engineer

Reston, VA

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

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Weekend Machine Vision Engineer information

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the most commonly searched types of Machine Vision Engineer jobs in Washington? The most popular types of Machine Vision Engineer jobs in Washington are:
What cities in Washington are hiring for Weekend Machine Vision Engineer jobs? Cities in Washington with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you

Computer Vision Engineer

MOLG Inc.

Sterling, VA

$110.80K - $130.60K/yr

Full-time

Medical, Vision

Posted 27 days ago

Job description

Hours: Full-time

Location: Molg HQ in Chantilly, VA (Northern Virginia)

Salary: Competitive compensation, including salary, equity, and full healthcare benefits


OUR MISSION

Tackle the fast growing e-waste problem by making electronics manufacturing circular. 


Molg builds robotics microfactories and software to autonomously assemble and disassemble complex electronic products like laptop PCs, servers, and battery packs. Working with some of the leading computer + server manufacturers as well as industrial companies like Stanley Black and Decker, we are building the circular manufacturing technology to recover existing in-market devices for reuse and recycling as well as helping develop the next generation of circular-focused devices at the design level. 


IN THIS ROLE YOU WILL:

Work with a talented cross-functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in computer vision as it relates to our robotics and microfactories. As a Computer Vision Engineer, you will be responsible for:


  • Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

  • Testing and verifying accuracy and precision of off-the-shelf and novel in-house vision feedback systems as it relates to robotic motion planning and grasping.

  • Collaborating with robotic, mechanical, and software engineers on design and packaging of vision systems inside Molg Microfactory designs. 


WHO YOU ARE:

  • 3+ years of industry experience in computer vision, machine vision, or image processing in manufacturing environments

  • Proficient in modern software development (e.g. python, ROS, github, docker, etc)

  • Passionate about robotics, automation, and control systems

  • Ability to communicate effectively and efficiently both verbally and in writing


WHO WE ARE:

We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Chantilly, VA, down the road from the largest data center market in the world.  Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things.   


While we are primarily funded by our work with Fortune 100 companies, we are also supported by amazing backers like Elemental Excelerator and Techstars. 


THINGS TO KNOW:

  • We’re a small collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.

  • We are a profitable business that is primarily funded from customer revenue, which means we are scrappy and looking to build a great sustainable company for years to come.

  • As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need. 

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